{"id":"W4237163592","doi":"10.3386/w17768","title":"Sizing Up Repo","year":2012,"lang":"en","type":"report","venue":"National Bureau of Economic Research","topic":"","field":"","cited_by":57,"is_retracted":false,"has_abstract":true,"ca_institutions":"Bank of Canada","funders":"","keywords":"Sizing; Process engineering; Environmental science; Materials science; Pulp and paper industry; Chemistry; Engineering; Organic chemistry","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003586684,0.0007391869,0.0005030018,0.005524238,0.0005465499,0.002395048,0.001157755,0.001276853,0.009199077],"category_scores_gemma":[0.03585708,0.0004419631,0.0005595994,0.003875606,0.000687529,0.003267237,0.001772895,0.001226052,0.004370104],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006863405,"about_ca_system_score_gemma":0.000592684,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001416596,"about_ca_topic_score_gemma":0.001412055,"domain_scores_codex":[0.99549,0.0006541535,0.0005249018,0.0005971165,0.002299337,0.0004345157],"domain_scores_gemma":[0.9403002,0.009402884,0.03401197,0.004584458,0.008739563,0.002960934],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0007723494,0.0003982672,0.7864029,0.0003845525,0.000350286,0.0009530955,0.001922158,0.003421396,0.009033185,0.0108516,0.01360584,0.1719043],"study_design_scores_gemma":[0.00003962095,0.0005552202,0.9465767,0.0001018063,0.00008088317,0.001800695,0.001229771,0.004901097,0.004376107,0.004736344,0.03551546,0.00008629945],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9493999,0.001342605,0.007081927,0.0006909517,0.00008342385,0.0002783565,0.005141359,0.0004349652,0.03554646],"genre_scores_gemma":[0.9792368,0.0005445589,0.003670328,0.0001849598,0.0003064301,0.0001903457,0.005176238,0.0001094063,0.0105809],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009199077,"threshold_uncertainty_score":0.030774,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.6875748171208688,"score_gpt":0.5934275144178706,"score_spread":0.0941473027029982,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}